On and off, over the years, I have followed and written about the SQL-on-Hadoop saga. The adventure started with Apache Hive, which originally provided a SQL layer on top of MapReduce, bringing new ...

Apache Spark is a project designed to accelerate Hadoop and other big data applications through the use of an in-memory, clustered data engine. The Apache Foundation describes the Spark project this ...

It’s time for the next version of SQL Server, Microsoft’s flagship database product. The company today announced the first public preview of SQL Server 2019 and while yet another update to a ...

Looker says it had been waiting for these engines to get fast enough to support its BI platform. And now they are. Last May, Apache Hive 1.2 was released. It included support for SQL Union (Union ...

Splice Machine, provider of an SQL RDBMS powered by Hadoop and Spark, now supports native PL/SQL on Splice Machine. Announced at Strata + Hadoop World in NYC, the new capabilities are available ...

The first Spark Summit East conference concluded yesterday, just a month after Apache Spark practically stole the show at the Strata+Hadoop World conference, reinvigorating the debate about where the ...

When it comes to leveraging existing Hadoop infrastructure to extend what is possible with large volumes of data and various applications, Yahoo is in a unique position–it has the data and just as ...

Listen in on any conversation about big data, and you’ll probably hear mention of Hadoop or Apache Spark. Here’s a brief look at what they do and how they compare. 1: They do different things. Hadoop ...